A modeling framework for deteriorating control system and predictive maintenance of actuators. (August 2015)

• Record Type: Journal Article
• Authors: Langeron, Y.; Grall, A.; Barros, A.
• Is Part Of: Reliability engineering & system safety. Volume 140(2015:Aug.)
• Page Start: 22
• Page End: 36
• Publication Date: 2015-08
• Subjects: Actuator -- Degradation -- Prognosis -- Loss of effectiveness -- RUL -- Stochastic process -- Control system; Reliability (Engineering) -- Periodicals; System safety -- Periodicals; Industrial safety -- Periodicals; Fiabilité -- Périodiques; Sécurité des systèmes -- Périodiques; Sécurité du travail -- Périodiques; 620.00452
• DOI: 10.1016/j.ress.2015.03.028
• Languages: English
• ISSNs: 0951-8320

Abstract

Abstract: Actuators play a central role in industrial automation systems. They are costly, and therefore studying their dependability needs all attention. Usually, an actuator is inserted in a feedback control system, and its mission is to implement a control action delivered by a controller. In this paper, a monotonic actuator deterioration is considered and it is assumed that a relationship exists between the control action and the physical actuator׳s deterioration. A modeling framework is proposed including a non-decreasing stochastic degradation process driving the inability for an actuator to fully implement its role. The prognosis of the actuator׳s residual useful lifetime is derived and used to update the controller׳s setting. The controller reconfiguration completes the maintenance corrective and preventive actions. This new action is suggested as an alternative for maintenance strategy. Abstract : Highlights: A degrading control system model is proposed focusing on actuator deterioration. It is assumed a relationship between this degradation and its loss of efficiency. The actuator RUL is quantified as a quantile of its conditional survival function. RUL prognosis is used to reconfigure the control input law. This new action is suggested as an alternative for maintenance strategy.